System and method for hybrid processing in a natural language voice services environment

Abstract

A system and method for hybrid processing in a natural language voice services environment that includes a plurality of multi-modal devices may be provided. In particular, the hybrid processing may generally include the plurality of multi-modal devices cooperatively interpreting and processing one or more natural language utterances included in one or more multi-modal requests. For example, a virtual router may receive various messages that include encoded audio corresponding to a natural language utterance contained in a multi-modal interaction provided to one or more of the devices. The virtual router may then analyze the encoded audio to select a cleanest sample of the natural language utterance and communicate with one or more other devices in the environment to determine an intent of the multi-modal interaction. The virtual router may then coordinate resolving the multi-modal interaction based on the intent of the multi-modal interaction.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61 / 259,827, entitled “System and Method for Hybrid Processing in a Natural Language Voice Services Environment,” filed Nov. 10, 2009, the contents of which are hereby incorporated by reference in their entirety.FIELD OF THE INVENTION[0002]The invention relates to hybrid processing in a natural language voice services environment that includes a plurality of multi-modal devices, wherein hybrid processing in the natural language voice services environment may include the plurality of multi-modal devices cooperatively interpreting and processing one or more natural language utterances included in one or more multi-modal requests.BACKGROUND OF THE INVENTION[0003]As technology has progressed in recent years, consumer electronic devices have emerged to become nearly ubiquitous in the everyday lives of many people. To meet the increasing demand that has resulted ...

AI Technical Summary

Benefits of technology

[0010]According to one aspect of the invention, a system and method for hybrid processing in a natural language voice services environment may address one or more of the aforementioned problems with existing systems. In particular, hybrid processing in the natur

Problems solved by technology

Greater functionality also introduces trade-offs, however, including learning curves that often inhibit users from fully exploiting all of the capabilities of their electronic devices.

For example, many existing electronic devices include complex human to machine interfaces that may not be particularly user-friendly, which can inhibit mass-market adoption for many technologies.

Moreover, cumbersome interfaces often result in otherwise desirable features being difficult to find or use (e.g., because of menus that are complex or otherwise tedious to navigate).

As such, many users tend not to use, or even know about, many of the potential capabilities of their devices.

As such, the increased functionality of electronic devices often tends to be wasted, as market research suggests that many users only use only a fraction of the features or applications available on a given device.

Thus, as consumer demand intensifies for simpler mechanisms to interact with electronic devices, cumbersome interfaces that prevent quick and focused interaction become an important concern.

Nevertheless, the ever-growing demand for mechanisms to use technology in intuitive ways remains largely unfulfilled.

Even so, existing voice user interfaces, when they actually work, still require significant learning on the part of the user.

Furthermore, many existing voice user interfaces cause user frustration or dissatisfaction because of inaccurate speech recognition.

Similarly, by forcing a user to provide pre-established commands or keywords to communicate requests in ways that a system can understand, existing voice user interfaces do not effectively engage the user in a productive, cooperative dialogue to resolve requests and advance a conversation towards a satisfactory goal (e.g., when users may be uncertain of particular needs, available information, device capabilities, etc.).

As such, existing voice user interfaces tend to suffer from various drawbacks, including significant limitations on engaging users in a dialogue in a cooperative and conversational manner.

Additionally, many existi

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